GUARASCIO, MASSIMO
 Distribuzione geografica
Continente #
NA - Nord America 483
AS - Asia 236
EU - Europa 177
SA - Sud America 8
Totale 904
Nazione #
US - Stati Uniti d'America 471
SG - Singapore 196
IT - Italia 110
KR - Corea 17
DE - Germania 15
CA - Canada 12
FI - Finlandia 12
BE - Belgio 10
CH - Svizzera 8
CN - Cina 8
GB - Regno Unito 8
CO - Colombia 6
LT - Lituania 5
NL - Olanda 5
AE - Emirati Arabi Uniti 2
BD - Bangladesh 2
EC - Ecuador 2
IN - India 2
KG - Kirghizistan 2
PH - Filippine 2
TW - Taiwan 2
GR - Grecia 1
ID - Indonesia 1
IE - Irlanda 1
PL - Polonia 1
SA - Arabia Saudita 1
TH - Thailandia 1
UA - Ucraina 1
Totale 904
Città #
Santa Clara 400
Singapore 116
Cosenza 24
Rende 16
Seoul 15
Helsinki 11
Brussels 10
Bologna 7
Frankfurt am Main 6
Guangzhou 6
Medellín 6
Milan 6
Geneva 5
Nuremberg 5
Rome 5
Boardman 4
Ottawa 4
Toronto 4
Bari 3
Gioiosa Ionica 3
London 3
Springfield 3
Turin 3
Bishkek 2
Cagliari 2
Catania 2
Catanzaro 2
Cavallino 2
Delhi 2
Fort Worth 2
Fribourg 2
Los Angeles 2
Pesaro 2
Phoenix 2
Prineville 2
Quito 2
Alcamo 1
Athens 1
Bangkok 1
Beijing 1
Bern 1
Bitonto 1
Dhaka 1
Dongdaemun-gu 1
Dublin 1
Falkenstein 1
Florence 1
Forest City 1
Hennef (Sieg) 1
Manila 1
Munich 1
Newark 1
Palermo 1
Reggio Calabria 1
Seattle 1
Serra San Bruno 1
Trieste 1
Yogyakarta 1
Totale 713
Nome #
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 30
Combining deep ensemble learning and explanation for intelligent ticket management 28
Fighting Misinformation, Radicalization and Bias in Social Media 23
Data- & compute-efficient deviance mining via active learning and fast ensembles 21
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders 20
On learning effective ensembles of deep neural networks for intrusion detection 19
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 19
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning 19
Towards Self-Supervised Cross-Domain Fake News Detection 18
Towards Extreme Multi-Label classification of Multimedia Content 18
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 17
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 17
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources 17
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 17
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 16
Deviance-Aware Discovery of High-Quality Process Models 16
Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content 16
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction 15
Rule Learning with Probabilistic Smoothing 15
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 15
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures 15
Revealing MageCart-like Threats in Favicons via Artificial Intelligence 14
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity 14
Mining models of exceptional objects through rule learning 14
Using Deep Learning and Data Integration for Accurate Rainfall Estimates 14
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores 13
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains 13
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities 13
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning 13
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation 13
High Quality True-Positive Prediction for Fiscal Fraud Detection 13
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 13
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora 13
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems 12
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems 12
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 12
Learning ensembles of deep neural networks for extreme rainfall event detection 12
Deep Sequential Modeling for Recommendation 11
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts 11
ORISHA: Improving Threat Detection through Orchestrated Information Sharing 11
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 11
Strumenti Intelligenti per Threat Detection e Response 11
A Cloud-based Prediction Framework for Analyzing Business Process Performances 11
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons 11
High Quality True-Positive Prediction for Fiscal Fraud Detection 11
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources 11
An Explainable Deep Ensemble Framework for Intelligent Ticket Management 11
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection 11
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls 10
Bias e Fairness in Information Sharing e Filtering 10
A Deep Anomaly Detection System for IoT-Based Smart Buildings 10
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 10
Emerging Challenges and Perspectives in Deep Learning Model Security: A Brief Survey 9
A deep learning approach for detecting security attacks on blockchain 9
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain 9
Human Behavior Discovery via Multidimensional Latent Factor Modeling 9
Intelligenza Artificiale e Machine Learning nei Sistemi Industriali di Manutenzione 9
Integrating a framework for discovering alternative app stores in a mobile app monitoring platform 8
Sanitization of Images Containing Stegomalware via Machine Learning Approaches 8
Profiling Human Behavior through Multidimensional Latent Factor Modeling 8
Discovering of Alternative Marketplaces on the Web for Mobile App Security Monitoring 8
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels 8
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels 8
Machine Learning per Behavior Analytics e Recommender Systems 8
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 8
Discovering accurate deep learning based predictive models for automatic customer support ticket classification 8
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 7
A framework for the discovery of predictive fix-time models 7
Discovering ensembles of small language models out of scarcely labelled data for fake news detection 7
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review 7
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 7
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 7
Context-aware predictions on business processes: An ensemble-based solution 6
Mining multi-variant process models from low-level logs 6
Network Topology 6
Knowledge Discovery in Databases 6
A Descriptive Clustering Approach to the Analysis of Quantitative Business-Process Deviances 6
Deviance-aware Discovery of High Quality Process Models 6
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning 6
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 6
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 6
Mining Expressive Performance Models out of Low-level Multidimensional Process Logs 6
An empirical comparison of collaborative filtering approaches on netflix data 6
A data-adaptive trace abstraction approach to the prediction of business process performances 5
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 5
A Block Mixture Model for Pattern Discovery in Preference Data 5
Discovering Context-Aware Models for Predicting Business Process Performances 5
Network Models 5
Deep Learning 5
Mining multi-variant process models from low-level logs 5
Adaptive trace abstraction approach for predicting business process performances 5
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 4
Deep Learning on Big Data 4
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 4
Context-Aware Prediction on Business Process Executions 4
Discovering High-Level Performance Models for Ticket Resolution Processes 4
Mining predictive process models out of low-level multidimensional logs 4
null 3
ProMetheuS: A suite for process mining applications 3
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 1
Totale 1.056
Categoria #
all - tutte 3.842
article - articoli 1.013
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 410
Totale 5.265


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2023/202476 0 0 0 0 0 0 0 0 17 14 32 13
2024/2025980 21 10 187 65 406 111 146 34 0 0 0 0
Totale 1.056